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zengpufan/README.md

📧 [email protected] | 📅 23 years old

Education

Beijing University of Chemical Technology
Bachelor of Computer Science and Technology
2020-2024

University of Science and Technology of China
Master of Software Engineering (expected graduation)
2024-2027

Technical Skills

  • Programming Languages: Java, Python, C++
  • Deep Learning/Computer Vision: PyTorch, OpenCV
  • Tools: Git, VS Code, IntelliJ IDEA, PyCharm
  • Database: MySQL,

Professional Experience

Improved Infrared-Visible Cross-Modal Pedestrian Recognition System
Qixinmingzhi Technology Co., Ltd.
Jul 2024 - Dec 2024

  • Enhanced cross-modal recognition accuracy by 5% through integrating NFormer into WRIM-Net.
  • Leveraged Fastreid framework (https://github.com/JDAI-CV/fast-reid) for preprocessing and model deployment.

Adverse Weather Road Image Restoration Model
Feb 2024 - May 2024

  • Developed Vision Transformer-based model with optimized encoder for feature extraction.
  • Built and augmented a dataset of 10k+ images under rain/snow/fog conditions.

Achievements

  • Awards: CCPC/ICPC Regional Bronze Medal (2023), people's Scholarship (2022, 2023)
  • English Proficiency: CET-6 (520/710), fluent in technical paper reading

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